If factitious citations bring sanctions, AI use has not removed consequences

A court ordered Rich to show cause in Clark v. Social Security, Commissioner of over why she should not be sanctioned, including through a fine, for including factitious citations in a plaintiff’s brief, according to CourtListener RECAP dockets: generative AI and sanctions or hallucinations. The filing says Rich used generative AI in preparing the brief and that she personally responded to the show-cause order. It also identifies an AI disclosure and personal-review certification for the filing. The order therefore puts a concrete consequence next to a concrete use of AI: a lawyer’s submission can still draw judicial scrutiny and a possible financial penalty when its citations are false.

The ruling exemplifies the central constraint on AI-assisted legal work: speed or automation does not displace responsibility for what reaches a court. AI does not eliminate the consequences of bad legal work. Here, the alleged defect is not an abstract concern about model quality. It is a filing with factitious citations, followed by a show-cause order that expressly includes the possibility of a fine. That moves the question from whether AI can help prepare legal work to whether the resulting work survives judicial checking. For an AI-native legal business, the practical implication is direct: a finished filing remains exposed to the same consequences when its authorities are not real, regardless of how the filing was produced. The Clark matter supplies an example of that exposure without requiring a broader claim about every AI-assisted brief.

What happened in Clark is narrower than a final sanctions ruling. CourtListener RECAP dockets: generative AI and sanctions or hallucinations reports a show-cause order and a possible fine; it does not establish that the court has imposed a fine, set its amount, or entered a final sanction. It also does not establish that every AI-assisted filing contains fabricated citations. The order identifies Rich and the plaintiff’s brief, not an AI-native firm or a general business model. Other judicial materials point to the same accountability question without changing the scope of Clark. CourtListener: AI and sanctions (opinions) describes Douglas v. Deutsche Bank National Trust Co. as involving the misuse of AI and consequences for attorneys, while its entry for R. M. v. Mohr says the court affirmed an order involving fabricated artificial intelligence material. Those matters support the proposition that AI use can remain tied to legal consequences, but Clark itself proves only that this filing triggered a show-cause process and possible sanctions.

The next fact to watch is a final order in Clark v. Social Security, Commissioner of. It will show whether the court imposes a fine or another sanction, whether the court finds the citations factitious, and whether the disposition addresses the lawyer’s use of AI or the accuracy of the brief more generally. That order would strengthen the reading that AI-assisted legal work remains accountable after submission. A decision declining sanctions would not erase the show-cause order, but it would narrow what this matter establishes about consequences. We will treat the final disposition, rather than the possibility of a penalty, as the measure of how far this example goes.